Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 598 | 2022 |
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics Y Kang, RJ Hyndman, F Li Statistical Analysis and Data Mining: The ASA Data Science Journal 13 (4 …, 2020 | 135* | 2020 |
Forecast combinations: An over 50-year review X Wang, RJ Hyndman, F Li, Y Kang International Journal of Forecasting 39 (4), 1518-1547, 2023 | 101 | 2023 |
Forecasting with time series imaging X Li, Y Kang, F Li Expert Systems with Applications 160, 113680, 2020 | 80 | 2020 |
Flexible modeling of conditional distributions using smooth mixtures of asymmetric student t densities F Li, M Villani, R Kohn Journal of Statistical Planning and Inference 140 (12), 3638-3654, 2010 | 44 | 2010 |
Least-square approximation for a distributed system X Zhu, F Li, H Wang Journal of Computational and Graphical Statistics 30 (4), 1004-1018, 2021 | 38 | 2021 |
Distributed ARIMA models for ultra-long time series X Wang, Y Kang, RJ Hyndman, F Li International Journal of Forecasting 39 (3), 1163-1184, 2023 | 34 | 2023 |
Forecast with forecasts: Diversity matters Y Kang, W Cao, F Petropoulos, F Li European Journal of Operational Research 301 (1), 180-190, 2022 | 27 | 2022 |
FFORMPP: Feature-based forecast model performance prediction TS Talagala, F Li, Y Kang International Journal of Forecasting 38 (3), 920-943, 2022 | 26 | 2022 |
Déjà vu: A data-centric forecasting approach through time series cross-similarity Y Kang, E Spiliotis, F Petropoulos, N Athiniotis, F Li, V Assimakopoulos Journal of Business Research 132, 719-731, 2021 | 22 | 2021 |
Improving forecasting performance using covariate-dependent copula models F Li, Y Kang International Journal of Forecasting 34 (3), 456-476, 2018 | 21* | 2018 |
Hierarchical forecasting with a top-down alignment of independent-level forecasts M Anderer, F Li International Journal of Forecasting 38 (4), 1405-1414, 2022 | 20* | 2022 |
The uncertainty estimation of feature-based forecast combinations X Wang, Y Kang, F Petropoulos, F Li Journal of the Operational Research Society 73 (5), 979-993, 2022 | 17 | 2022 |
Changes in patterns of mortality rates and years of life lost due to firearms in the United States, 1999 to 2016: A joinpoint analysis HM Bailey, Y Zuo, F Li, J Min, K Vaddiparti, M Prosperi, J Fagan, S Galea, ... PLoS One 14 (11), e0225223, 2019 | 14 | 2019 |
Bayesian forecast combination using time-varying features L Li, Y Kang, F Li International Journal of Forecasting 39 (3), 1287-1302, 2023 | 11 | 2023 |
Feature-based intermittent demand forecast combinations: accuracy and inventory implications L Li, Y Kang, F Petropoulos, F Li International Journal of Production Research 61 (22), 7557-7572, 2023 | 10 | 2023 |
Intersections of firearm suicide, drug-related mortality, and economic dependency in rural America B Kalesan, S Zhao, M Poulson, M Neufeld, T Dechert, JJ Siracuse, Y Zuo, ... Journal of surgical research 256, 96-102, 2020 | 10 | 2020 |
Modelling conditional densities using finite smooth mixtures F Li, M Villani, R Kohn Mixtures: estimation and applications, 123-144, 2011 | 10 | 2011 |
Optimal reconciliation with immutable forecasts B Zhang, Y Kang, A Panagiotelis, F Li European Journal of Operational Research 308 (2), 650-660, 2023 | 9 | 2023 |
A note on distributed quantile regression by pilot sampling and one-step updating R Pan, T Ren, B Guo, F Li, G Li, H Wang Journal of Business & Economic Statistics 40 (4), 1691-1700, 2022 | 9 | 2022 |